جست‌وجوی استاد و پژوهشگر

Raquel Coelhoمشاهده پروفایل

استادیار

• Emerging Technologies in Learning
• Human-Centered Frameworks
• Education Data Science
• +۳ مورد دیگر

Raquel Coelho is an Assistant Professor at the University of Pittsburgh's School of Computing and Information (SCI) and a Research Scientist at the Learning Research and Development Center (LRDC). She holds a PhD in Learning Sciences and Technology Design from Stanford University, with a focus on human-centered applications of emerging technologies in learning environments. Her joint appointments include senior researcher roles at the University of Bergen's SLATE and Columbia University's TLTL, alongside her founding role in Learning Sciences Brazil Affiliate. Education: PhD in Learning Sciences and Education Data Science (Stanford University), postdoctoral research at University College London and University of Bergen, and teaching at University of Nottingham's Learning Sciences Research Institute. Research Interests: Proleptic thinking in technology design, leveraging future-oriented frameworks to shape present-day educational systems. Focus areas include AI ethics in education, data visualization for learning, and culturally responsive pedagogical practices. Her lab, ProlepSys, emphasizes 'prolepsis'—imagining future possibilities to guide current design decisions—integrating human-machine collaboration for developmental advancements. Teaching Philosophy: Project-based, ungraded doctoral and undergraduate courses emphasizing design thinking, critical discourse, and practical research skills. Courses include INFSCI 3350 (Learning Sciences & Technology Design) and INFSCI 0410 (Human-Centered Systems Design). Lab & Collaborations: ProlepSys lab members include Cassandra Kelley (project coordinator) and undergrad researchers (Eliza Callahan, Erick Makita, etc.). The lab prioritizes equitable technology integration, avoiding 'lock-ins,' and maintaining human agency through design principles like 'use is design' (Pea) and Bruner's 'back and forward between possible and actual.'

Guido Noto La Diegaمشاهده پروفایل

استاد

• Internet of Things (IoT) Law
• Artificial Intelligence (AI) Governance
• Consumer Law
• +۶ مورد دیگر

Professor Guido Noto La Diega is a Professor of Law, Technology, and Innovation at the University of Strathclyde's School of Law within the Faculty of Humanities and Social Sciences. He leads the LLM/MSc Law, Technology, and Innovation program and mentors a research team focusing on the intersection of law, technology, and innovation. His expertise spans European, Italian, and British legal frameworks for IoT, AI, robotics, blockchain, and cloud computing. He holds a PhD in Private Law from the University of Palermo and a postdoc in Cloud Computing Law from Queen Mary University of London. Research Interests: IoT governance, AI regulation, consumer protection, intellectual property law, and data protection. Key Projects: Leads the AHRC-DFG funded 'From Smart Technologies to Smart Consumer Laws' and contributed to the EU's AI in Education guidelines. International Recognition: Cited by the EU Court of Justice's Advocate General, House of Lords, and World Economic Forum. External Roles: Fellow at the Nexa Center, Research Associate at UCL's Blockchain Tech Centre, and member of the European Data Protection Board. His work emphasizes socially just and sustainable innovation, advocating for legal frameworks that protect consumers while fostering ethical technological advancement. Notable publications include Internet of Things and the Law , an open-access book addressing IoT's legal challenges.

Linda Katehiمشاهده پروفایل

استاد

• Microwave and Millimeter-Wave Circuits
• MEMS Devices
• Terahertz Applications
• +۵ مورد دیگر

Linda Katehi is a Professor of Electrical & Computer Engineering and Materials Science & Engineering at Texas A&M University, holding the O'Donnell Foundation Chair II. She is a Member of the National Academy of Engineering and American Academy of Arts and Sciences. Her research focuses on advanced electromagnetic systems, MEMS devices, and embedded intelligent sensors. Katehi earned her Ph.D. in Electrical Engineering from UCLA (1984), with prior degrees from UCLA and the National Technical University of Athens. Education: Ph.D., Electrical Engineering, UCLA (1984) M.S., Electrical Engineering, UCLA (1981) B.S., Electrical and Mechanical Engineering, National Technical University of Athens (1977) Research Interests: Katehi pioneers innovations in microwave circuits, MEMS-based reconfigurable systems, terahertz technology, and neuromorphic sensors. Her work emphasizes integrating artificial intelligence into hardware for adaptive sensing platforms. Recent projects include flexible electronics, time-domain system analysis, and sustainability in urban infrastructure. Awards & Recognition: Ramo Simon Founder’s Award (2015) Charter Fellow, National Academy of Inventors (2013) Leading Women in STEM Award (2012) Rudy E. Henning Mentoring Award (IEEE, 2011) Lab & Teams: Directs the Intelligent Electromagnetic Sensors Lab (IEMSL), advancing embodied intelligence in electronics. Her team develops AI-embedded sensors and reconfigurable systems for applications in healthcare, communications, and environmental monitoring. Collaborates across disciplines to address global sustainability and equity challenges.

Cristiano Politowskiمشاهده پروفایل

استادیار

• Software Engineering
• Video Game Development
• Artificial Intelligence for Software Engineering (AI4SE)
• +۳ مورد دیگر

Cristiano Politowski is an Assistant Professor in the Department of Computer Science at Ontario Tech University's Faculty of Science. His research focuses on software engineering for video games, automated testing, AI4SE, and empirical studies. He holds a Ph.D. in Software Engineering from Concordia University (2022), an M.Sc. in Computer Science from Universidade Federal de Santa Maria (2017), and a B.Sc. in Computer Science from Universidade Regional do Estado do Rio Grande do Sul (2014). Prof. Politowski has extensive postdoctoral experience at Université de Montréal (GEODES group) and École de Technologie Supérieure (ÉTS), focusing on game engine architecture, requirements specification, and certifiable RTOS systems. He has organized workshops like ASE4Games 2021/2022 and FaSE4Games 2024, emphasizing game software engineering. His research interests span video game development challenges, software testing methodologies, and leveraging AI for software engineering. Notable projects include analyzing game engine subsystem coupling, assessing video game balance with autonomous agents, and curating datasets like PlayMyData. Prof. Politowski has secured $20K from MITACS for a 5G infrastructure project during the pandemic and received the Concordia Accelerator Award (2021). His work has been published in venues like MSR, ICSE, and IEEE Transactions.

• Telecommunications Policy
• Broadband Internet Access
• Intellectual Property Rights
• +۳ مورد دیگر

Krishna Jayakar is a Professor of Telecommunications and Public Policy and Head of the Department of Telecommunications at The Pennsylvania State University's College of Communications. He specializes in telecommunications policy, broadband access, intellectual property rights, and media economics, with a focus on disability accessibility in technology. His research frequently compares policy frameworks across nations, particularly analyzing China and India's approaches to digital economies. Education includes a Bachelor's from the Institute of Technology-BHU in India, and Master's and PhD degrees from Indiana University. His work bridges policy analysis and technical implementation, with notable contributions to understanding broadband adoption models, smart city governance, and the effects of national innovation strategies on 6G development. Key research trends in his articles include cross-national policy comparisons, the socio-economic impacts of broadband investments, and regulatory frameworks for emerging technologies like AI. His studies on domain name arbitration regimes and media company responses to streaming services highlight his interdisciplinary approach to telecommunications challenges. Dr. Jayakar has advised on grants related to broadband initiatives and rural economic development, leveraging his expertise in policy diffusion and regulatory federalism. He leads the Telecommunications Department at Penn State, fostering research into digital equity and telecommunications infrastructure's societal impacts.

Wesley J. Marreroمشاهده پروفایل

استادیار

• Machine Learning
• Inferential Statistics
• Stochastic Simulation
• +۴ مورد دیگر

Dr. Wesley J. Marrero is an Assistant Professor of Engineering at Dartmouth College's Thayer School of Engineering. He holds core affiliations with the Health Equity and Advocacy Lab at The Dartmouth Institute for Health Policy and Clinical Practice and is a faculty affiliate in the Quantitative Biomedical Sciences Graduate Program at the Geisel School of Medicine. His research integrates operations research and statistics to address healthcare challenges in substance use disorder, cardiovascular disease, and organ transplantation, collaborating with institutions like Massachusetts General Hospital and the University of Michigan. Dr. Marrero received a B.S. in Industrial and Management Engineering from the University of Turabo (2014), an M.S. in Industrial and Operations Engineering (2017), an M.A. in Statistics (2021), and a Ph.D. in Industrial and Operations Engineering (2021) from the University of Michigan. His research focuses on stochastic simulation and optimization for decision-making in healthcare. Key areas include machine learning applications in predictive modeling, inferential statistics for medical decisions, and sequential decision-making frameworks for health policy optimization. His work emphasizes practical implementations in clinical settings and health systems. Dr. Marrero's publications demonstrate a consistent focus on healthcare optimization, with recent trends in machine learning for organ transplantation and genetic testing strategies. His articles frequently appear in high-impact journals and conference proceedings, reflecting interdisciplinary collaborations. Awards: INFORMS MIF Best Paper Award (2024) INFORMS Annual Meeting Minority Issues Forum Poster Competition Best Poster Award (2020) INFORMS Judith Liebman Award (2020) National Science Foundation Graduate Research Fellowship (2017) Michigan Student Symposium Best Poster Award (2017) Rackham Merit Fellowship (2015) He actively advises graduate and undergraduate students, with current PhD candidates in engineering and biomedical sciences. His research group has secured grants from organizations including the National Science Foundation and the American Medical Association. Dr. Marrero leads a dynamic research group focusing on healthcare decision analytics. He collaborates with medical institutions and government agencies, including the U.S. Department of Veterans Affairs, to translate research into clinical practice.

Niranjan Janardhananمشاهده پروفایل

مدرس

• Organizational Behavior
• Work Identity Management
• Team Dynamics
• +۳ مورد دیگر

Dr Niranjan Janardhanan is a Lecturer in the Department of Management at the London School of Economics and Political Science (LSE). He holds a PhD in Management from the University of Texas at Austin (2018), focusing on organizational behavior. Prior to academia, he worked in semiconductor manufacturing, financial services, and consulting roles across Asia and Europe. His research explores how employees construct and express identities in teams and organizations, with a focus on managing multiple work identities in uncertain environments. He has reviewed for journals like Journal of Applied Psychology and conferences such as the Academy of Management. Dr Janardhanan’s research interests include team cognition, identity work in crises, and the interplay between role expectations and moral decision-making. His work has been published in top-tier journals such as Organization Science and Journal of Applied Psychology . He integrates social network theory and field theory to analyze team dynamics, particularly in contexts involving conflict, precarity, and technological integration. His recent studies investigate human-AI collaboration norms and the impact of collective affect during organizational crises. Education details include a Bachelors and Masters in Electrical Engineering from the National University of Singapore and an MBA in Strategy & Leadership from the Indian School of Business. His interdisciplinary background bridges technical domains with organizational behavior, informing his research on leadership training, skill gaps in retail sectors, and systemic approaches to organizational development. Key themes across his work include the navigation of identity congruence, ethical dilemmas in roles, and leveraging cross-understanding for team performance. While no specific grants or awards are listed, his contributions to peer review and conference participation highlight his active role in advancing organizational behavior scholarship.

Rafael Ruiz De Castañedaمشاهده پروفایل

پژوهشگر

• One Health
• Global Health
• Epidemiology
• +۵ مورد دیگر

Rafael Ruiz De Castañeda is a Researcher and Lecturer at the Faculty of Medicine, University of Geneva, leading the One Health Unit in collaboration with Dr. Isabelle Bolon. His work focuses on interdisciplinary global health challenges, including emerging infectious diseases, zoonotic pathogens, and conservation biology. He has extensive field experience in Africa and Latin America, coordinating projects like the EU-funded Africa Build and RAFT Network. He is also a key figure in global health education, developing MOOCs such as the Coursera course on Global Health at the Human-Animal-Ecosystem Interface . His research integrates ecological, veterinary, and human health perspectives, emphasizing snakebite envenoming epidemiology, AI-driven species identification, and planetary health. He collaborates globally with institutions like Institut Pasteur and the Geneva Science Policy Interface. Key contributions include policy briefs on humanitarian action in planetary crises and frameworks for One Health diplomacy. Recent publications highlight transdisciplinary approaches to snakebite prevention, geospatial modeling of health risks, and leveraging AI for wildlife health surveillance. His work bridges academia, policy, and community engagement to address systemic health challenges at the human-animal-environment nexus.

Nalin Arachchilageمشاهده پروفایل

دانشیار

• Cyber Security
• Human-Computer Interaction (HCI)
• Software Engineering
• +۵ مورد دیگر

Associate Professor Nalin Arachchilage is a leading academic in Cyber Security at RMIT University's School of Computing Technologies. He holds an honorary role at the University of Warwick and advises DEFSAFE Cyber Security Inc. His research focuses on usable security, privacy engineering, and AI-driven cybersecurity solutions. Key roles include revamping RMIT's Master of Cyber Security program and leading the Usable Security Engineering group at UNSW ADFA. Education: PhD in Cyber Security (Brunel University), Postdocs at Oxford and UBC. Research spans interdisciplinary areas including HCI, machine learning for threat modeling, and serious games for security education. He has published extensively in top venues like ACM CCS and SOUPS, contributing to global standards like OWASP. Leadership: Previously Assistant Head of School (Research) at the University of Auckland, and Director of the MProfStuds in Digital Security. Active in program committees for major conferences (ACM CCS, SOUPS). Current supervision includes 5 PhD students across RMIT and Auckland. Media Impact: Featured in Sky News Australia, ABC, and TVNZ. Collaborations with HP and Facebook. Awards include impactful contributions to security frameworks and standards. Teaching: Coordinates courses like INTE2625 (Cyber Security) and COSC2738 (Human-Centric Cyber Security). Supervises projects on topics like blockchain security and responsible AI. Non-Academic Roles: Chair of the Academic Board at Canberra Business & Technology College (2020-2021). Advisor to DEFSAFE, focusing on novel cyber-security products.

Dipanwita Thakurمشاهده پروفایل

استادیار

• Green Artificial Intelligence
• Federated Learning
• Smart Healthcare
• +۴ مورد دیگر

Dr. Dipanwita Thakur serves as Assistant Professor at the Department of Computer Engineering, Modeling, Electronics and Systems (DIMES) at the University of Calabria, Italy since July 2023. She is an active member of the European Cooperation in Science & Technology (COST Action CA22104) focusing on cybersecurity and serves in the IEEE Future Networks Working Group for Artificial Intelligence/Machine Learning. Previously, she held a 15-year Assistant Professor position at Banasthali University, Rajasthan, and has industry experience at TechMahindra and C-DAC. Education: Ph.D. in Smart Healthcare from West Bengal University of Technology, Kolkata M.Tech. in Software Engineering from Banasthali Vidyapith MCA from NIELIT, Government of India B.Sc. from University of Calcutta Her research pioneers Green Artificial Intelligence with emphasis on energy-efficient federated learning and smart healthcare applications. She develops privacy-preserving human activity recognition systems using multimodal data fusion, focusing on performance evaluation and environmental sustainability. Her work bridges theoretical machine learning with practical healthcare solutions, optimizing AI systems for reduced carbon footprint while maintaining clinical efficacy through hardware-algorithm co-design and quantization techniques. Recent publications reveal a strong trajectory toward sustainable AI, with increasing focus on energy-aware federated learning frameworks, multimodal medical segmentation, and non-IID data handling. Her work consistently addresses the critical balance between model accuracy, convergence speed, and energy consumption across edge devices, with growing emphasis on quantization techniques and hardware-algorithm co-design for real-world deployment. Scientific Awards: Elevated to IEEE Senior Member (2024) Dr. B.C. Roy Memorial Scholarship for outstanding 10th Board results (1992) Student Science Seminar Award by West Bengal Government (1990) Dr. Thakur actively mentors students as evidenced by her congratulations to advisee Farwa for paper acceptances. She serves as Associate Editor for Information Fusion (Elsevier) and IEEE Sensors Journal, and holds editorial roles at Scientific Reports. Her research is advanced through COST Action CA22104 and IEEE working groups, though specific grant details aren't listed in the source material. She has organized key workshops including Green-Aware AI 2024 and Green Federated Learning at IJCNN 2025. She leads research within the MONAI community on data quality and federated learning, and contributes to IEEE IoT and Future Networks initiatives. Her work with the COST Action CA22104 Behavioral Next Generation in Wireless Networks connects cybersecurity with sustainable AI development, while her Missouri S&T visiting scholar position focuses on energy optimization for federated learning systems.

Marco Giacaloneمشاهده پروفایل

استاد پژوهشی

• Digitalisation of Legal Processes
• Private International Law
• Online Dispute Resolution (ODR)
• +۴ مورد دیگر

Marco Giacalone is a Research Professor at the Private and Economic Law Department (PREC) of the Vrije Universiteit Brussel (VUB), where he also serves as Co-Director of the Research Group on Digitalisation and Access to Justice (DIKE). He holds adjunct professorships at VUB (2018-2019) and has been a postdoctoral researcher at the Brussels Research Institute on Development, Governance, and Empowerment. His work focuses on the intersection of digital technologies and legal processes, particularly in Private International Law, ODR, and ADR. **Education**: PhD in Law (Doctor Europaeus, 2016) from VUB and University of Naples Federico II, specializing in Dispute Resolution and emerging IT realities. **Research Interests**: Digital transformation of legal systems, blockchain applications in justice, AI-driven conflict resolution, cross-border dispute mechanisms, and equitable algorithmic systems. His projects include EU-funded initiatives like CREA3 (Equitative Algorithms) and IDEA (Access to Justice tools). **Grants & Projects**: Over 10 projects funded by the EU, including EU683 (Equitative Algorithms), EU681 (IDEA), and EU676 (Digitalising Small Claims). Active in consortiums like IPSU 2022 (Digital Ius Knowledge Empowerment) and OZR4193 (VUB-UNIPARTHENOPE PhD collaboration). **Awards**: 2019 Best Paper Award and Marie Skłodowska-Curie Fellowship (2020). Extensive speaking engagements on topics like AI in judiciary, blockchain legal frameworks, and digital justice. **Labs/Teams**: Leads the DIKE Research Group and collaborates with the Brussels Research Institute. Involved in developing tools like Prodigit (digital tax justice) and CREA’s cloud-based decision support systems.

Jooho Leeمشاهده پروفایل

استاد

• Public Management
• E-Government
• IT Management
• +۴ مورد دیگر

Jooho Lee is a Professor at the School of Public Administration (SPA) at the University of Nebraska at Omaha (UNO) and Co-Director of the Digital Governance and Analytics Lab. His research focuses on public management, e-government, IT management, e-participation, crowdsourcing, social media, and organizational networks. He holds a Ph.D. in Public Administration from Syracuse University and has served in leadership roles including Co-Chair of the Doctoral Program Committee at SPA and Chair of the Section on Korean Public Administration (SKPA) within the American Society for Public Administration (ASPA). He has received notable awards such as the 2014 Best Paper Award and the 2020 CPACS Inquiry Award. His work bridges theory and practice, emphasizing digital transformation, citizen engagement, and inclusive governance. Dr. Lee's academic contributions span over two decades, with a focus on leveraging technology to enhance public service delivery. His service roles include membership in UNO's Academic Planning Council and the Faculty Senate. He has co-chaired major international conferences, including the 26th Digital Government Research Conference, and is a Research Fellow at Arizona State University's Center for Organizational Research and Design (CORD). His research and teaching address contemporary challenges in public administration, such as digital divides, trust in government, and participatory budgeting. Dr. Lee's recent publications explore socio-demographic factors influencing e-government use, the role of incentives in crowdsourcing, and trust dynamics in participatory processes. His work highlights the importance of inclusive strategies to ensure equitable access to digital services, particularly for vulnerable populations. Through his lab and collaborations, he continues to advance innovative solutions for modern governance challenges.

Marc Torrens Arnalمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +۷ مورد دیگر

Marc Torrens Arnal is an Associate Professor in the Department of Operations, Innovation and Data Sciences at ESADE Business School, Ramon Llull University. He serves as Academic Director of the Executive Master in Business Analytics and is an active researcher at ESADE D3 – Institute for Data-Driven Decisions. Education: PhD in Artificial Intelligence, École Polytechnique Fédérale de Lausanne (EPFL) Computer Science Engineering, Universitat Politècnica de Catalunya (UPC) Marc's research centers on the application of Artificial Intelligence to solve real-world business and societal challenges. He is particularly passionate about leveraging AI to enhance human decision-making, improve lives, and bridge the gap between academic research and industrial implementation. His work spans machine learning, recommender systems, data-driven marketing, cybersecurity, and ethical AI. He emphasizes practical, impactful innovation grounded in scientific rigor. The most recent articles reflect a strong trend toward applying AI in business analytics, financial technology, and cybersecurity. There is a consistent focus on personalization, decision support, and ethical considerations. His publications span top venues in AI and human-computer interaction, demonstrating a long-standing contribution to both foundational and applied research. Scientific Awards: No awards explicitly mentioned in the text. Marc has advised numerous industry leaders through his entrepreneurial ventures and academic roles. He co-founded Strands, Inc., where he led innovation for over 14 years, building a globally recognized fintech platform. Though no formal students are listed, his leadership in executive education suggests significant mentorship of professionals and entrepreneurs. He has secured substantial real-world impact through patents and commercial deployment rather than traditional research grants. Labs and Research Teams: ESADE D3 - Institute for Data-Driven Decisions

• Adaptive Enterprise Architecture
• Agile Software Development
• Design Science Research
• +۶ مورد دیگر

Professor Asif Gill is Head of Discipline for Software Engineering at the School of Computer Science, University of Technology Sydney (UTS), where he was promoted to Professor of Computer Science in January 2024. He also serves as Director of the DigiSAS Research and Innovation Lab and is actively involved in the Global Big Data Technologies Centre at UTS. As a founder of both the DigiSAS Lab and the Future Generation Enterprise Architecture Community of Practice (FGEA CoP), he has established integrated teaching-research-engagement frameworks that translate academic research into practical applications while enhancing graduate employment opportunities. Professor Gill's research interests span Adaptive Enterprise Architecture , Agile Software Development , and Design Science Research & Innovation , with a particular focus on architecting large-scale data-intensive enterprise software systems. His work addresses challenges across academia, industry, government, and society, with significant contributions to AI systems architecture, digital identity management, and enterprise knowledge graphs. His applied research has resulted in numerous collaborations with organizations including the Reserve Bank of Australia, Revenue NSW, Capsifi, Data Zoo, and the NSW Department of Planning, Industry and Environment. His publication record includes 3 books and over 190 articles in major academic journals such as IEEE Transactions on Professional Communication, Information and Management, and Information Systems. His recent work demonstrates a consistent focus on cutting-edge topics in enterprise architecture, AI systems, and digital identity, with multiple publications appearing in 2024-2025. His research trajectory shows a clear evolution from foundational work in agile software development toward more sophisticated integration of AI, enterprise architecture, and data governance. Fellow of the Australian Computer Society (ACS) Fellow of DSE (ESCP Center for Design Science in Entrepreneurship) Senior Member IEEE Associate Editor, IEEE Transactions on Technology & Society Associate Editor, Springer Nature Discover Data journals Member, Data Sharing Committee, IFIP Technical Committee 8.1 Member, Standards Australia Software and Systems Engineering Committee IT-015 Professor Gill has successfully secured numerous research grants from 2019-2026, totaling significant funding for projects related to digital identity, enterprise architecture, and AI systems. His approach emphasizes industry-academia collaboration, with many projects involving direct partnerships with government agencies and industry organizations. He has supervised multiple PhD and Master's students through industry-sponsored scholarships and maintains active collaborations with researchers across multiple institutions. Leading the DigiSAS Research and Innovation Lab, Professor Gill has created an environment that bridges theoretical research with practical implementation. The lab focuses on developing frameworks and tools for adaptive enterprise architecture, with particular emphasis on AI-enabled systems, data governance, and digital identity solutions. His work on the Data Satellite Architecture represents a significant contribution to combating data pollution in federated digital ecosystems.

• Artificial Intelligence
• Innovation Management
• Entrepreneurial Ecosystems
• +۵ مورد دیگر

Elettra D'Amico is a Fixed-term Researcher at the Department of Management and Production Engineering (DIGEP) at Politecnico di Torino. Her academic work focuses on the intersection of Artificial Intelligence, innovation management, and entrepreneurial ecosystems, with particular emphasis on regional development and technology transfer. Academic Affiliation: Department of Management and Production Engineering (DIGEP), Politecnico di Torino Research Focus: AI startups, entrepreneurial ecosystems, knowledge spillovers, technology transfer Her research explores how universities contribute to AI startup creation, the impact of knowledge specialization on innovation, and the performance determinants of space economy startups. Publications demonstrate expertise in empirical analysis of regional AI adoption and startup ecosystem typologies. She actively contributes to teaching as a Course Collaborator in Management Engineering programs, specializing in Strategy and Organization courses and Challenge@PoliTo experiential learning projects across diverse engineering disciplines since 2019.